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Search reports

search_reports
Read-onlyIdempotent

Search bug reports using natural-language queries or component paths. Returns ranked results with IDs, summaries, and similarity scores for fast triage.

Instructions

Search reports by meaning and keyword (pgvector similarity server-side; falls back to summary/description substring if embeddings are unavailable). Returns ranked { results: [{ id, summary, similarity }] }. Read-only. Use to find reports by free text ("checkout flakiness"); use get_similar_bugs to dedupe a known component/bug, or get_recent_reports to list without a query.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax results (default 10, max 50)
queryYesNatural-language search text or component path
thresholdNoSimilarity threshold 0..1, default 0.2

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultsYes
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true. The description adds behavioral details: pgvector server-side similarity, fallback to substring, and ranked results. It does not contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with core purpose, then alternatives. No wasted words. Efficient and well-structured.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With 3 parameters, output schema described in description, and good annotations, the description covers search behavior, fallback, return format, and sibling context. Minor gap: 'component path' not further explained, but overall complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters (query, limit, threshold). The description essentially matches the schema descriptions, adding no new meaning beyond what the schema provides. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it searches reports by meaning and keyword via pgvector similarity with a fallback, and specifies the return format. It distinguishes between siblings by naming alternatives like get_similar_bugs and get_recent_reports.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly tells when to use this tool ('find reports by free text') and when to use alternatives ('use get_similar_bugs to dedupe a known component/bug, or get_recent_reports to list without a query').

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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